I'm using kibana 4.4.1 and in elasticsearch I store the status of PC, only when PC status is changed (open, closed, warings, etc)
My data into Elasticsearch looks like:
{ "status_id":1 , "pc":"lpt001" , "date":"2016-10-25T17:49:00Z" }
{ "status_id":3 , "pc":"lpt001" , "date":"2016-10-25T15:48:00Z" }
{ "status_id":4 , "pc":"lpt002" , "date":"2016-10-25T15:46:00Z" }
{ "status_id":1 , "pc":"lpt002" , "date":"2016-10-25T12:48:00Z" }
And I what to get the newest record in order to have at any time how many PC's are opened, closed or have some issues. My query is like:
GET cb-2016.10.26/_search
{
"query": {
"match_all": { }
},
"sort": [
{
"date": {
"order": "desc"
}
}
],
"aggs": {
"max_date":{
"max": {
"field": "date"
}
}
}
}
And the result is:
"aggregations": {
"max_date": {
"value": 1477417680000,
"value_as_string": "2016-10-25T17:48:00.000Z"
}
}
But What I want is to have that max_date for each "pc": "lpt001", "lpt002".
There is any way to split max_date by "pc" field? I read something about bucket aggregations but I did not reach the result.
Thank you
the final query looks like:
{
"query": {
"match_all": { }
},
"aggs" : {
"pcstatus" : {
"terms" : {
"field" : "pc"
},
"aggs": {
"top_date_hit": {
"top_hits": {
"sort": [
{
"date": {
"order": "desc"
}
}
],
"size" : 1
}
}
}
}
}
}